Face Recognition by Feedforward Neural Network Using Laplacian of Gaussian Filter and Singular Value Decomposition

2010 ◽  
Author(s):  
D.N. Pritha ◽  
L. Savitha ◽  
S.S. Shylaja
Keyword(s):  
Neural Network ◽  
Face Recognition ◽  
Singular Value Decomposition ◽  
Singular Value ◽  
Feedforward Neural Network ◽  
Gaussian Filter ◽  
Laplacian Of Gaussian Filter ◽  
Value Decomposition

Face Recognition and Semantic Features

2011 ◽  
pp. 80-98
Author(s):  
Huiyu Zhou ◽  
Yuan Yuan ◽  
Chunmei Shi
Keyword(s):  
Face Recognition ◽  
Singular Value Decomposition ◽  
Eigenvalue Problem ◽  
Singular Value ◽  
Semantic Features ◽  
Subspace Analysis ◽  
Geometrical Properties ◽  
The Face ◽  
Tensor Subspace ◽  
Value Decomposition

The authors present a face recognition scheme based on semantic features’ extraction from faces and tensor subspace analysis. These semantic features consist of eyes and mouth, plus the region outlined by three weight centres of the edges of these features. The extracted features are compared over images in tensor subspace domain. Singular value decomposition is used to solve the eigenvalue problem and to project the geometrical properties to the face manifold. They compare the performance of the proposed scheme with that of other established techniques, where the results demonstrate the superiority of the proposed method.

Singular value decomposition-based virtual representation for face recognition

2020 ◽  
Vol 31 (3) ◽  
Author(s):  
Shigang Liu ◽  
Yuhong Wang ◽  
Yali Peng ◽  
Sujuan Hou ◽  
Keyou Zhang ◽  
...  
Keyword(s):  
Face Recognition ◽  
Singular Value Decomposition ◽  
Singular Value ◽  
Value Decomposition

Singular value decomposition based virtual representation for face recognition

2017 ◽  
Vol 77 (6) ◽  
pp. 7171-7186 ◽  
Author(s):  
Guiying Zhang ◽  
Wenbin Zou ◽  
Xianjie Zhang ◽  
Yong Zhao
Keyword(s):  
Face Recognition ◽  
Singular Value Decomposition ◽  
Singular Value ◽  
Value Decomposition
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